Artificial intelligence in the judicial system: international experience, legal risks and limits of admissibility in Russia

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Abstract

The purpose of the study is to conduct a comprehensive analysis of the possibilities and limitations of applying artificial intelligence in the judicial system, taking into account international experience and the specifics of Russian justice. The paper examines the directions of digitalization of judicial activities, identifies legal risks and ethical challenges associated with the use of algorithmic technologies. The methodological basis of the research includes comparative legal and systemic approaches. As a result, the study identifies legal and organizational conditions for the safe integration of artificial intelligence into the Russian judicial system in accordance with the principles of judicial independence, legality, and the protection of human rights, aimed at ensuring the delivery of fair judicial decisions by judges. The conclusion emphasizes the need to establish clear limits on the permissible use of artificial intelligence in justice in order to maintain public trust in the judiciary.

About the authors

Evgeny M. Dontsov

Kherson State Technical University

Author for correspondence.
Email: edontsov@mail.ru
SPIN-code: 9814-0047

Cand. Sci. (Law), Assoc. Prof., Professor of the Department of Jurisprudence

Russian Federation, Henichesk

Tatyana K. Dontsova

Kherson State Technical University

Email: edontsov@mail.ru

Cand. Sci. (Law), Associate Professor of the Department of Jurisprudence

Russian Federation, Henichesk

References

  1. Arkhireev N.V. Artificial Intelligence and Predictive Justice. Arbitration and Civil Procedure. 2025. No. 4. Pp. 35–38. (in Rus.).
  2. Papysheva E.S. Transparency of Justice and Information Technology. Gaps in Russian Legislation. 2024. Vol. 17. No. 5. Pp. 085–093. doi: 10.33693/2072-3164-2024-17-5-085-093. EDN: JXRSPG. (in Rus.).
  3. Volosova N.Y. (2022), Electronic Justice: An Overview Of Global Trend. Economic Problems and Legal Practice. Vol.18. No. 3. Pp. 275–278. (in Rus.).

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